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Record W4285346378 · doi:10.1515/9780748656394

Tacit Alliance

2021· book· eo· W4285346378 on OpenAlexaboutno aff
Tony McCulloch

Bibliographic record

VenueEdinburgh University Press eBooks · 2021
Typebook
Languageeo
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceDiplomacyPolitical scienceIdeologyNew DealAdministration (probate law)NeutralitySpecial RelationshipLawEconomic historyPublic administrationPolitical economyHistoryPoliticsSociology

Abstract

fetched live from OpenAlex

Locates the immediate origins of the Anglo-American 'special relationship' in the diplomacy of Roosevelt's administrationProvides the most detailed coverage of Anglo-American relations from 1937-1939Focuses on the role of Franklin Roosevelt as the central figure in Anglo-American relations at this timeShows how Roosevelt's key speeches plot the development of his attitude towards the US's relationship with BritainConsiders the importance of economic diplomacy in Anglo-American relationsLooks at the role played by Canada in the making of the 'special relationship'In February 1938, Senator William Borah, an inveterate isolationist, accused the Roosevelt Administration of forming a 'tacit alliance' with Britain. Taking Borah's remark as its starting point, Tony McCulloch analyses Anglo-American relations from the start of Franklin D. Roosevelt's second term in January 1937 through to the outbreak of war in Europe and the revision of the US Neutrality Act in November 1939. Despite the mutual doubts afflicting the governments - and public opinion - on both sides of the Atlantic during these years, McCulloch argues that thanks largely to Franklin Roosevelt there was considerable progress in establishing an ideological and strategic understanding between the two democracies. This laid the foundation for the 'special relationship' so desired by Winston Churchill during and after the Second World War

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.121
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.206
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

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